WO2005099422A3 - Selection and use of nonstastical translation components in a statistical machine translation framework - Google Patents

Selection and use of nonstastical translation components in a statistical machine translation framework Download PDF

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Publication number
WO2005099422A3
WO2005099422A3 PCT/US2005/013001 US2005013001W WO2005099422A3 WO 2005099422 A3 WO2005099422 A3 WO 2005099422A3 US 2005013001 W US2005013001 W US 2005013001W WO 2005099422 A3 WO2005099422 A3 WO 2005099422A3
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translation
training
components
nonstastical
selection
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PCT/US2005/013001
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French (fr)
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WO2005099422A2 (en
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Franz Josef Och
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Univ Southern California
Franz Josef Och
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Publication of WO2005099422A2 publication Critical patent/WO2005099422A2/en
Publication of WO2005099422A3 publication Critical patent/WO2005099422A3/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/40—Processing or translation of natural language
    • G06F40/42—Data-driven translation
    • G06F40/44—Statistical methods, e.g. probability models

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Probability & Statistics with Applications (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Machine Translation (AREA)

Abstract

A system with a nonstatistical translation component integrated with a statistical translation component engine. The same corpus may be used for training the statistical engine and also for determining when to use the statistical engine and when to use the translation component. This training may use probabilistic techniques. Both the statistical engine and the translation components may be capable of translating the same information, however the system determines which component to use based on the training. Retraining can be carried out to add additional components, or when after additional translator training.
PCT/US2005/013001 2004-04-16 2005-04-18 Selection and use of nonstastical translation components in a statistical machine translation framework WO2005099422A2 (en)

Applications Claiming Priority (4)

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US56277404P 2004-04-16 2004-04-16
US60/562,774 2004-04-16
US11/107,304 2005-04-15
US11/107,304 US8666725B2 (en) 2004-04-16 2005-04-15 Selection and use of nonstatistical translation components in a statistical machine translation framework

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WO2005099422A2 WO2005099422A2 (en) 2005-10-27
WO2005099422A3 true WO2005099422A3 (en) 2007-01-18

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WO (1) WO2005099422A2 (en)

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